Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology

P.L. Schrammen, N.G. Laleh, A. Echle, D. Truhn, V. Schulz, T.J. Brinker, H. Brenner, J. Chang-Claude, E. Alwers, A. Brobeil, M. Kloor, L.R. Heij, D. Jager, C. Trautwein, H.I. Grabsch, P. Quirke, N.P. West, M. Hoffmeister, J.N. Kather*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Number of pages11
JournalJournal of Pathology
DOIs
Publication statusE-pub ahead of print - 22 Oct 2021

Keywords

  • artificial intelligence
  • deep learning
  • colorectal cancer
  • computational pathology
  • digital pathology
  • microsatellite instability
  • Lynch syndrome
  • MICROSATELLITE INSTABILITY
  • COLORECTAL-CANCER

Cite this